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Open Access

Construction of Students’ Innovation Ability Portrait for Cultural Intelligence Computing

Chunhong Liu1,2( ), Xiaoniu Li3,4, Jiahu Zhang1
School of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China
Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, Xinxiang 453007, China
Henan Mental Hospital, The Second Affifiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China
Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang 453002, China
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Abstract

At the age of artificial intelligence, the inheritance and development of innovation culture are crucial for constructing an innovative country, and they are major components of cultural intelligence computing. The portrait of innovation ability is a digital representation of innovative culture, and its accurate description is the basis for the personalized cultivation of innovation ability. Therefore, how to objectively and accurately design a labeling system for an innovation ability portrait and depict a high-pixel portrait is an urgent problem to be solved for the digital representation of innovation culture. To address this problem, based on innovation theory, our study (1) uses a combination of subjective and objective methods to design an innovation ability evaluation system, (2) constructs a scientific and reasonable portrait label system, (3) represents the system’s results as individual students’ innovation ability portraits and student groups’ innovation ability portraits, and (4) visualizes the portraits’ results. Finally, considering resource recommendation as an example, this study (1) adopts a computational model of crowd intelligence computing, (2) designs and implements a personalized recommendation system for educational resources based on the resulting innovation ability portraits, (3) improves the computing efficiency, and (4) expounds the applications of portraits in personalized learning, precise teaching, and smart educational decision-making to promote personalized innovative talent training and realize the core value of innovative culture.

Keywords

evaluation indexcultural intelligence computinginnovation ability portraitportrait label system

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International Journal of Crowd Science
Volume 7 Issue 2,
June 2023
Pages 77-86
DOI: 10.26599/IJCS.2023.9100001
Cite this article:
Liu C, Li X, Zhang J. Construction of Students’ Innovation Ability Portrait for Cultural Intelligence Computing. International Journal of Crowd Science, 2023, 7(2): 77-86. https://doi.org/10.26599/IJCS.2023.9100001

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Received: 08 November 2022
Revised: 12 January 2023
Accepted: 19 January 2023
Published: 22 June 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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